Given only the training samples of \(K\)  shots, it is challenging to acquire a discriminative classifier.
Inspired by the latest development in self-supervised learning (SSL) [1]}, the self-supervised visual representations are incorporated with strong discriminative power. Hence we propose a novel co-mining scheme that leverages a SSL model \(M^{ssl}\)  to collaborative mine implicit novel instances with \(M^s\) .
